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Persoonlijk profiel

Quote

Time flows like a river, ceaselessly day and night. 

Research profile

Wenjin Wang is an assistant professor of Eindhoven University of Technology, closely work with the Electronic Systems group and Signal Processing Systems group of Department of Electrical Engineering. His main affiliation is with Philips Research where he works as a scientist. His areas of expertise include biomedical optics, signal/image processing, computer vision, and machine learning. His current research focus is camera-based health monitoring (e.g. vital signs and human activity measurement). His earlier PhD work on this topic led to various peer-reviewed journals/conference publications, patent applications, and systems/prototypes that will end in customized applications. He serves as a reviewer for several well-known journals and conferences. Meanwhile, he is active in academia like organizing workshops/sessions/tutorials at the top IEEE conference (e.g. CVPR/ICCV/EMBC) and organizing special issue on the IEEE journal (e.g. JBHI). He was also invited by the Elsevier publisher to edit/write a book on "contactless vital signs monitoring".

Academic background

Wenjin Wang received his BSc in Biomedical Engineering (in the top-class program) from Northeastern University (China) in 2011; his MSc in Artificial Intelligence from University of Amsterdam (The Netherlands) in 2013, with the full scholarship; and his PhD in Electrical Engineering from Eindhoven University of Technology (TU/e, The Netherlands) in 2017, with the PhD thesis "Robust and Automatic Remote Photoplethysmography". His earlier PhD work in camera-based vital signs monitoring led to 11 journal publications (8 times the first author), 4 conference papers (2 times the first author), and 8 patent applications (with Philips Research). After PhD, he joined Philips Research as a scientist, working on contactless health monitoring technologies. He is also an assistant preofessor at TU/e. 

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  • 1 Soortgelijke profielen

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Onderzoeksoutput

  • 425 Citaties
  • 14 Tijdschriftartikel
  • 7 Conferentiebijdrage
  • 6 Octrooi-publicatie
  • 1 Dissertatie 1 (Onderzoek TU/e / Promotie TU/e)

Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs

Sun, Y., Kommers, D., Tan, T., Wang, W., Long, X., Shan, C., van Pul, C., Aarts, R. M., Andriessen, P. & de With, P. H. N., 2020, SPIE Medical Imaging. SPIE, Vol. 11314. 8 blz. 11314

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Automatic and continuous discomfort detection for premature infants in a NICU using video-based motion analysis

    Sun, Y., Kommers, D., Wang, W., Joshi, R., Shan, C., Tan, T., Aarts, R. M., Pul, C. V., Andriessen, P. & With, P. H. N. D., jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Piscataway: Institute of Electrical and Electronics Engineers, blz. 5995-5999 5 blz. 8857597

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 1 Citaat (Scopus)

    Discriminative signatures for remote-PPG

    Wang, W., den Brinker, A. C. & de Haan, G., 30 aug 2019, In : IEEE Transactions on Biomedical Engineering. 12 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • Respiration monitoring for premature neonates in NICU

    Sun, Y., Wang, W., Long, X., Meftah, M., Tan, T., Shan, C., Aarts, R. M. & de With, P. H. N., 2 dec 2019, In : Applied Sciences. 9, 23, 11 blz., 5246.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
    Bestand
  • 10 Downloads (Pure)

    Single element remote-PPG

    Wang, W., den Brinker, A. C. & de Haan, G., 1 jul 2019, In : IEEE Transactions on Biomedical Engineering. 66, 7, blz. 2032-2043 12 blz., 8540913.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 1 Citaat (Scopus)
    3 Downloads (Pure)

    Scriptie

    Non-contact respiration monitoring based on matrix factorization with automatic RoI detection

    Auteur: Janssen, R., 31 jul 2015

    Begeleider: de Haan, G. (Afstudeerdocent 1), Wang, W. (Afstudeerdocent 2) & Kirenko, I. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master